Learning Causal Cyclic Graphs from Unknown Shift Interventions
Overview
Code for 'backShift', an algorithm to estimate the connectivity matrix of a directed (possibly cyclic) graph with hidden variables. The underlying system is required to be linear and we assume that observations under different shift interventions are available. For more details, see arXiv:1506.02494.
Install
Health
CRAN check results are not tracked yet.
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 10
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 22%
- Documented parameters
- 97%
- Return-value docs
- 56%
- Help pages citing references
- 30%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Maintainer since 0.1.1 (2015)
Pick two releases to compare their code metrics.
- archivedRemoved from CRAN2026-04-30email to the maintainer is undeliverable
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1.4.32020-05-06 · diff ↗
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 0.1.4.22017-09-07 · diff ↗
- RR 3.4.0 released · 2017-04-21
- 0.1.4.1
- RR 3.3.0 released · 2016-05-03
- 0.1.32015-10-13 · diff ↗
Package metadata
- First published
- 2015-06-09
- Total releases
- 6 / 11 yrs
- License
- GPL
- Minimum R
- ≥ 3.1.0
- Bundled data
- 0.3 KB / 1 file
- Download size
- 371 KB
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